Is there open source AI wealth management?

No — not in the way most people mean it. There is no widely-used open-source project that combines full wealth management with AI. What you can get is something more useful for most people: an AI wealth platform built on an open standard, Model Context Protocol (MCP), so your data and your AI relationship are never locked to one vendor. That is the model Era Context uses.

Why doesn't open-source AI wealth management exist?

Building AI wealth management takes three things that rarely show up in one open-source repository: live bank connectivity, a regulated advisory layer, and a maintained AI integration. Bank aggregation contracts, compliance overhead, and the ongoing cost of keeping AI models current are expensive to sustain as a volunteer project. Open-source communities have done excellent work on the first piece — plain personal finance tracking — but nobody has combined all three into a project with real adoption. That gap is why the search term exists: people want the openness of open source, but the actual product they need doesn't exist as a GitHub repository you can clone.

What are people actually asking for when they search this?

Usually not the source code itself. Three underlying wants show up again and again:

• Control — the ability to see, export, or delete your financial data on your own terms.
• Portability — using whichever AI you prefer, today or in five years, without starting over.
• No lock-in — not being stuck with one company's proprietary chat interface as the only way to access your own financial life.

Open-source software is one way to get those three things. It is not the only way. An open standard underneath a commercial product can deliver the same freedom, often with less setup.

What is MCP, and how is it different from open source?

Model Context Protocol is an open specification, not a piece of software. Anthropic published it as a common way for AI models to connect to external data and tools, and any company or developer can implement it without asking permission or paying a license fee. Because it is a specification rather than a codebase, MCP does not care who wrote the client or the server — a Claude app, ChatGPT, or a tool nobody has built yet can all speak the same protocol to the same data source. Read the full explanation in what is MCP.

This is the distinction that matters for the search behind this article. Open-source software gives you control by letting you own the code. An open standard gives you control by letting you own the connection — you are never stuck with a single vendor's interface just because they wrote the software you're using.

How does Era Context use MCP to avoid vendor lock-in?

Era is not open-source software. It is a commercial financial platform, and Era Context — its AI memory and access layer — is built entirely on MCP. Era Context runs as an MCP server at https://context.era.app (Streamable HTTP clients can also point to the explicit https://context.era.app/mcp path), and it exposes dozens of tools, and counting, spanning accounts, transactions, insights, activity, billing, knowledge, connections, help, and referrals. Most of those tools read your data; a smaller set can change it, and anything that changes your data shows you exactly what it will do before it happens.

That read-and-act split is concrete in practice. Ask your agent what you spent on subscriptions last month, and it reads your transactions. Ask it to flag any charge over $50 going forward, and it drafts a rule, shows you exactly what the rule will do, and creates it only once you confirm.

Because Era Context speaks the open MCP standard, it works with any MCP-compatible client — Claude, ChatGPT, Cursor, OpenClaw, and dozens more. You are not handed a single proprietary chat window and told that's the only door in. If you prefer a different AI client next year, or want to run two at once, you connect it to the same server and the same data. Nothing about your financial history is rebuilt or re-entered. That is the practical meaning of "no lock-in" for an AI finance product, and it's covered in more depth in what is agent-native finance.

A concrete part of this: cross-agent memory. Tell one connected AI agent something about your finances — a goal, a preference, a correction — and every other agent connected to your Era Context sees it too. Ask any agent to forget something, and it's removed everywhere, not just from that one conversation. That's what portability actually looks like in daily use, and it's the subject of why financial AI memory should be portable.

Is Era Context safe to connect an AI to?

Financial data at Era is encrypted with AES-256 at rest and TLS 1.3 in transit, and every AI client connects over OAuth 2.1 — you approve the scopes each client gets, and no client ever sees your Era password. Bank credentials are never stored either: connections go through MX, which links Era to thousands of institutions without Era ever holding your bank login. Every action an agent takes through Era Context is written to a full activity log you can review, and you can revoke access for any client at any time. Your data is never sold or shared without your explicit permission. The longer answer, including how this compares to handing data to a generic AI chatbot, is in is it safe to give AI your financial data.

Era also operates under real regulatory oversight, not just security controls. Era Financial Advisors LLC is SEC-registered (CRD #334404), and brokerage is handled through Alpaca Securities LLC, a member of FINRA and SIPC. That is a different accountability structure than a self-hosted open-source tool, where you are your own compliance department.

What about genuine open-source personal finance tools?

They exist, and they're worth naming directly, because they solve a real but different problem. Tools like Firefly III, Actual Budget, and GnuCash are established open-source options for tracking budgets, transactions, and net worth. They are self-hosted — you run the server, you own the database file, and nobody can revoke your access. That is real, meaningful control.

What they are generally not built for is AI. These projects are budgeting and ledger tools first; connecting an AI model to your data is either unsupported or something you'd have to wire up yourself, on top of already handling your own server, updates, and backups. That is a legitimate tradeoff for someone comfortable running infrastructure. It is a barrier for everyone else.

How do open source, closed robo-advisors, and Era Context actually compare?

	Open-source personal finance (e.g. Firefly III, Actual Budget)	Traditional closed robo-advisors / wealth apps	Era Context (built on the open MCP standard)
AI-native	No — bolt-on at best	Usually a single built-in assistant	Yes — AI access is the core interface
Works with your own AI (Claude, ChatGPT, etc.)	Rarely, without custom work	No — locked to their in-app assistant	Yes — any MCP-compatible client
Access model	Your own login, self-managed	Proprietary login only	OAuth 2.1, per-client, revocable anytime
Vendor lock-in	Low (you hold the data)	High (proprietary interface only)	Low (open standard, not tied to one client)
Self-hosting required	Yes	No	No
Setup effort	High (server, maintenance, backups)	Low	Low
Cost	Free (your infrastructure time instead)	Often free or subscription	Free tier available, paid tiers for automation

How do you get started with Era Context?

1. Create an Era account and connect at least one financial account through MX.
2. Connect an MCP-compatible AI client — Claude, ChatGPT, Cursor, or another tool of your choice — to https://context.era.app, then approve the OAuth 2.1 scopes it requests. That's the whole authorization step; no separate password to hand over.
3. Ask the connected AI a question about your finances, or describe a rule in plain English (for example, "flag any subscription charge over $50"). Your AI shows you what the rule will do before it's created, and it's created only once you confirm.
4. Add more accounts or a second AI client whenever you want — your financial memory carries over automatically.

The Basic tier is free and includes two accounts with read-only MCP access, so you can try this without commitment. Paid tiers (Organize, Automate, and Operate) add more accounts, automation, and higher usage limits — full details are on the pricing page.

Is Era Context right for you, or should you self-host something?

If you want to run your own server, own every byte of your data on your own hardware, and don't need AI in the loop, a self-hosted tool like Firefly III or Actual Budget is a defensible choice — that is exactly what open-source personal finance software is for. If you want AI-native access to your finances without maintaining infrastructure, and you don't want to be locked into one company's proprietary assistant to get it, Era Context's approach — commercial software, open standard underneath — is built for that middle ground. For a broader look at how Era stacks up against other AI and non-AI finance apps on the market, see Era vs Monarch vs Copilot vs YNAB. To understand what Era Context actually is under the hood, read what is Era Context.